Yehia Helmy
Papers
1
Total Citations
10
H-Index
1
About
Yehia Helmy is a researcher whose work sits at the intersection of artificial intelligence and public health, with a particular focus on infectious disease control. His most cited study, "Intelligent Decision Framework to Explore and Control Infection of Hepatitis C Virus" (2018), has garnered 10 citations, reflecting its niche but significant contribution to applying computational methods for epidemiological challenges. Helmy’s core research areas include intelligent decision-making systems, machine learning for healthcare, and predictive modeling for viral outbreaks. His major contribution lies in developing frameworks that integrate data-driven algorithms with clinical decision support, enabling more effective monitoring and intervention strategies for diseases like hepatitis C. While his citation count is modest, his work is notable for its practical orientation—bridging the gap between theoretical AI models and real-world public health applications. Helmy’s research offers a blueprint for how intelligent systems can assist in controlling infectious diseases, making his contributions valuable for students and researchers interested in AI-driven epidemiology and healthcare optimization.
Research Focus
Key Achievements
Top Papers
- 1